Overview

Dataset statistics

Number of variables33
Number of observations19799
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 MiB
Average record size in memory264.0 B

Variable types

Categorical2
Numeric31

Alerts

adshex has a high cardinality: 19799 distinct values High cardinality
type has a high cardinality: 455 distinct values High cardinality
duration1 is highly correlated with boxes1High correlation
duration2 is highly correlated with duration5 and 1 other fieldsHigh correlation
duration5 is highly correlated with duration2 and 1 other fieldsHigh correlation
boxes1 is highly correlated with duration1High correlation
boxes2 is highly correlated with duration2 and 1 other fieldsHigh correlation
boxes5 is highly correlated with duration5 and 5 other fieldsHigh correlation
speed1 is highly correlated with boxes5 and 4 other fieldsHigh correlation
speed2 is highly correlated with boxes5 and 3 other fieldsHigh correlation
speed4 is highly correlated with speed1High correlation
speed5 is highly correlated with boxes5 and 3 other fieldsHigh correlation
altitude1 is highly correlated with altitude2 and 1 other fieldsHigh correlation
altitude2 is highly correlated with altitude1 and 1 other fieldsHigh correlation
altitude5 is highly correlated with boxes5 and 5 other fieldsHigh correlation
steer1 is highly correlated with steer2 and 3 other fieldsHigh correlation
steer2 is highly correlated with steer1 and 3 other fieldsHigh correlation
steer3 is highly correlated with steer4 and 2 other fieldsHigh correlation
steer4 is highly correlated with steer3 and 1 other fieldsHigh correlation
steer5 is highly correlated with steer1 and 2 other fieldsHigh correlation
steer6 is highly correlated with steer2 and 3 other fieldsHigh correlation
steer7 is highly correlated with steer1 and 3 other fieldsHigh correlation
steer8 is highly correlated with steer1 and 3 other fieldsHigh correlation
flights is highly correlated with observationsHigh correlation
observations is highly correlated with flightsHigh correlation
duration1 is highly correlated with boxes1High correlation
duration2 is highly correlated with duration5 and 1 other fieldsHigh correlation
duration5 is highly correlated with duration2 and 1 other fieldsHigh correlation
boxes1 is highly correlated with duration1 and 1 other fieldsHigh correlation
boxes2 is highly correlated with duration2 and 1 other fieldsHigh correlation
boxes5 is highly correlated with duration5 and 3 other fieldsHigh correlation
speed1 is highly correlated with boxes1 and 1 other fieldsHigh correlation
speed2 is highly correlated with speed5High correlation
speed4 is highly correlated with speed1High correlation
speed5 is highly correlated with boxes5 and 2 other fieldsHigh correlation
altitude2 is highly correlated with altitude5High correlation
altitude3 is highly correlated with altitude5High correlation
altitude5 is highly correlated with boxes5 and 3 other fieldsHigh correlation
steer1 is highly correlated with steer2 and 3 other fieldsHigh correlation
steer2 is highly correlated with steer1High correlation
steer3 is highly correlated with steer4 and 2 other fieldsHigh correlation
steer4 is highly correlated with steer3 and 1 other fieldsHigh correlation
steer5 is highly correlated with steer1 and 2 other fieldsHigh correlation
steer6 is highly correlated with steer3 and 2 other fieldsHigh correlation
steer7 is highly correlated with steer1 and 2 other fieldsHigh correlation
steer8 is highly correlated with steer1 and 2 other fieldsHigh correlation
flights is highly correlated with observationsHigh correlation
observations is highly correlated with flightsHigh correlation
duration1 is highly correlated with boxes1High correlation
duration5 is highly correlated with boxes5High correlation
boxes1 is highly correlated with duration1High correlation
boxes5 is highly correlated with duration5High correlation
speed2 is highly correlated with speed5High correlation
speed5 is highly correlated with speed2 and 1 other fieldsHigh correlation
altitude5 is highly correlated with speed5High correlation
steer1 is highly correlated with steer2 and 2 other fieldsHigh correlation
steer2 is highly correlated with steer1 and 1 other fieldsHigh correlation
steer3 is highly correlated with steer4High correlation
steer4 is highly correlated with steer3 and 1 other fieldsHigh correlation
steer6 is highly correlated with steer4High correlation
steer7 is highly correlated with steer1 and 2 other fieldsHigh correlation
steer8 is highly correlated with steer1 and 1 other fieldsHigh correlation
duration1 is highly correlated with boxes1High correlation
duration2 is highly correlated with duration5 and 1 other fieldsHigh correlation
duration3 is highly correlated with boxes3High correlation
duration4 is highly correlated with boxes4High correlation
duration5 is highly correlated with duration2 and 1 other fieldsHigh correlation
boxes1 is highly correlated with duration1 and 1 other fieldsHigh correlation
boxes2 is highly correlated with duration2 and 1 other fieldsHigh correlation
boxes3 is highly correlated with duration3 and 1 other fieldsHigh correlation
boxes4 is highly correlated with duration4High correlation
boxes5 is highly correlated with duration5 and 6 other fieldsHigh correlation
speed1 is highly correlated with boxes1 and 4 other fieldsHigh correlation
speed2 is highly correlated with boxes5 and 4 other fieldsHigh correlation
speed3 is highly correlated with speed4 and 1 other fieldsHigh correlation
speed4 is highly correlated with speed1 and 5 other fieldsHigh correlation
speed5 is highly correlated with boxes5 and 5 other fieldsHigh correlation
altitude1 is highly correlated with altitude2 and 1 other fieldsHigh correlation
altitude2 is highly correlated with altitude1 and 2 other fieldsHigh correlation
altitude3 is highly correlated with altitude2 and 1 other fieldsHigh correlation
altitude4 is highly correlated with altitude5High correlation
altitude5 is highly correlated with boxes5 and 7 other fieldsHigh correlation
steer1 is highly correlated with steer2 and 1 other fieldsHigh correlation
steer2 is highly correlated with steer1 and 2 other fieldsHigh correlation
steer3 is highly correlated with steer4 and 2 other fieldsHigh correlation
steer4 is highly correlated with speed4 and 3 other fieldsHigh correlation
steer5 is highly correlated with steer2 and 2 other fieldsHigh correlation
steer6 is highly correlated with steer3 and 1 other fieldsHigh correlation
steer7 is highly correlated with steer8High correlation
steer8 is highly correlated with steer1 and 2 other fieldsHigh correlation
adshex is uniformly distributed Uniform
adshex has unique values Unique
duration1 has 4067 (20.5%) zeros Zeros
duration2 has 2925 (14.8%) zeros Zeros
duration3 has 1982 (10.0%) zeros Zeros
duration4 has 2091 (10.6%) zeros Zeros
duration5 has 2210 (11.2%) zeros Zeros
boxes1 has 3681 (18.6%) zeros Zeros
boxes2 has 3290 (16.6%) zeros Zeros
boxes3 has 2226 (11.2%) zeros Zeros
boxes4 has 3309 (16.7%) zeros Zeros
boxes5 has 4655 (23.5%) zeros Zeros
speed1 has 232 (1.2%) zeros Zeros
speed3 has 302 (1.5%) zeros Zeros
speed4 has 1504 (7.6%) zeros Zeros
speed5 has 2989 (15.1%) zeros Zeros
altitude1 has 643 (3.2%) zeros Zeros
altitude2 has 530 (2.7%) zeros Zeros
altitude3 has 636 (3.2%) zeros Zeros
altitude4 has 1518 (7.7%) zeros Zeros
altitude5 has 5510 (27.8%) zeros Zeros
squawk_1 has 9372 (47.3%) zeros Zeros

Reproduction

Analysis started2022-06-08 03:26:02.072630
Analysis finished2022-06-08 03:29:05.220111
Duration3 minutes and 3.15 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

adshex
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct19799
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size154.8 KiB
A
 
1
A8B823
 
1
A8B939
 
1
A8B90F
 
1
A8B906
 
1
Other values (19794)
19794 

Length

Max length6
Median length6
Mean length5.998989848
Min length1

Characters and Unicode

Total characters118774
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19799 ?
Unique (%)100.0%

Sample

1st rowA
2nd rowA00000
3rd rowA00002
4th rowA00008
5th rowA0001E

Common Values

ValueCountFrequency (%)
A1
 
< 0.1%
A8B8231
 
< 0.1%
A8B9391
 
< 0.1%
A8B90F1
 
< 0.1%
A8B9061
 
< 0.1%
A8B9031
 
< 0.1%
A8B8B01
 
< 0.1%
A8B85E1
 
< 0.1%
A8B84C1
 
< 0.1%
A8B80C1
 
< 0.1%
Other values (19789)19789
99.9%

Length

2022-06-07T23:29:05.376743image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a1
 
< 0.1%
a002e11
 
< 0.1%
a000021
 
< 0.1%
a000081
 
< 0.1%
a0001e1
 
< 0.1%
a0002b1
 
< 0.1%
a000491
 
< 0.1%
a000631
 
< 0.1%
a000761
 
< 0.1%
a0007a1
 
< 0.1%
Other values (19789)19789
99.9%

Most occurring characters

ValueCountFrequency (%)
A26071
22.0%
06994
 
5.9%
16872
 
5.8%
36760
 
5.7%
56484
 
5.5%
46442
 
5.4%
96318
 
5.3%
C6298
 
5.3%
66219
 
5.2%
D6175
 
5.2%
Other values (6)34141
28.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number64454
54.3%
Uppercase Letter54320
45.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
06994
10.9%
16872
10.7%
36760
10.5%
56484
10.1%
46442
10.0%
96318
9.8%
66219
9.6%
76143
9.5%
86125
9.5%
26097
9.5%
Uppercase Letter
ValueCountFrequency (%)
A26071
48.0%
C6298
 
11.6%
D6175
 
11.4%
B5993
 
11.0%
E4996
 
9.2%
F4787
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common64454
54.3%
Latin54320
45.7%

Most frequent character per script

Common
ValueCountFrequency (%)
06994
10.9%
16872
10.7%
36760
10.5%
56484
10.1%
46442
10.0%
96318
9.8%
66219
9.6%
76143
9.5%
86125
9.5%
26097
9.5%
Latin
ValueCountFrequency (%)
A26071
48.0%
C6298
 
11.6%
D6175
 
11.4%
B5993
 
11.0%
E4996
 
9.2%
F4787
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII118774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A26071
22.0%
06994
 
5.9%
16872
 
5.8%
36760
 
5.7%
56484
 
5.5%
46442
 
5.4%
96318
 
5.3%
C6298
 
5.3%
66219
 
5.2%
D6175
 
5.2%
Other values (6)34141
28.7%

duration1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2914
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1585053527
Minimum0
Maximum1
Zeros4067
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:05.546218image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03249392884
median0.1176470588
Q30.24
95-th percentile0.4736842105
Maximum1
Range1
Interquartile range (IQR)0.2075060712

Descriptive statistics

Standard deviation0.1578750317
Coefficient of variation (CV)0.9960233452
Kurtosis1.920350153
Mean0.1585053527
Median Absolute Deviation (MAD)0.1001031992
Skewness1.331024462
Sum3138.247479
Variance0.02492452562
MonotonicityNot monotonic
2022-06-07T23:29:05.925193image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04067
 
20.5%
0.1666666667367
 
1.9%
0.2358
 
1.8%
0.1428571429356
 
1.8%
0.25344
 
1.7%
0.125310
 
1.6%
0.3333333333283
 
1.4%
0.1111111111277
 
1.4%
0.1269
 
1.4%
0.09090909091231
 
1.2%
Other values (2904)12937
65.3%
ValueCountFrequency (%)
04067
20.5%
0.0038610038611
 
< 0.1%
0.003906251
 
< 0.1%
0.0041152263371
 
< 0.1%
0.0041322314051
 
< 0.1%
0.0043290043291
 
< 0.1%
0.0048543689321
 
< 0.1%
0.0050377833751
 
< 0.1%
0.0051282051281
 
< 0.1%
0.0052631578951
 
< 0.1%
ValueCountFrequency (%)
13
< 0.1%
0.97333333331
 
< 0.1%
0.95348837211
 
< 0.1%
0.93989071041
 
< 0.1%
0.93661971831
 
< 0.1%
0.92771084341
 
< 0.1%
0.90740740741
 
< 0.1%
0.90697674421
 
< 0.1%
0.90361445781
 
< 0.1%
0.91
 
< 0.1%

duration2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2708
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1729932095
Minimum0
Maximum1
Zeros2925
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:06.143955image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06666666667
median0.1525423729
Q30.25
95-th percentile0.4347826087
Maximum1
Range1
Interquartile range (IQR)0.1833333333

Descriptive statistics

Standard deviation0.1402806206
Coefficient of variation (CV)0.8109024681
Kurtosis1.25125593
Mean0.1729932095
Median Absolute Deviation (MAD)0.09371884347
Skewness0.9902337599
Sum3425.092556
Variance0.01967865251
MonotonicityNot monotonic
2022-06-07T23:29:06.479660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02925
 
14.8%
0.2494
 
2.5%
0.25440
 
2.2%
0.1666666667426
 
2.2%
0.3333333333387
 
2.0%
0.1428571429360
 
1.8%
0.125325
 
1.6%
0.1111111111311
 
1.6%
0.1267
 
1.3%
0.09090909091240
 
1.2%
Other values (2698)13624
68.8%
ValueCountFrequency (%)
02925
14.8%
0.0042462845011
 
< 0.1%
0.0048543689321
 
< 0.1%
0.0053475935831
 
< 0.1%
0.0055248618781
 
< 0.1%
0.0055555555561
 
< 0.1%
0.0056179775282
 
< 0.1%
0.0056818181822
 
< 0.1%
0.0058823529411
 
< 0.1%
0.0061349693251
 
< 0.1%
ValueCountFrequency (%)
11
 
< 0.1%
0.90909090911
 
< 0.1%
0.88636363641
 
< 0.1%
0.85964912281
 
< 0.1%
0.85714285714
< 0.1%
0.83333333334
< 0.1%
0.81818181821
 
< 0.1%
0.81481481481
 
< 0.1%
0.80357142861
 
< 0.1%
0.86
< 0.1%

duration3
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct2645
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1973485335
Minimum0
Maximum1
Zeros1982
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:06.909085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.09836065574
median0.1764705882
Q30.2708633525
95-th percentile0.4719355986
Maximum1
Range1
Interquartile range (IQR)0.1725026968

Descriptive statistics

Standard deviation0.1444330245
Coefficient of variation (CV)0.7318677362
Kurtosis2.03478654
Mean0.1973485335
Median Absolute Deviation (MAD)0.08556149733
Skewness1.101954229
Sum3907.303616
Variance0.02086089857
MonotonicityNot monotonic
2022-06-07T23:29:07.740216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01982
 
10.0%
0.2559
 
2.8%
0.25527
 
2.7%
0.1666666667452
 
2.3%
0.3333333333425
 
2.1%
0.1428571429382
 
1.9%
0.125304
 
1.5%
0.1111111111276
 
1.4%
0.1245
 
1.2%
0.5241
 
1.2%
Other values (2635)14406
72.8%
ValueCountFrequency (%)
01982
10.0%
0.0028169014081
 
< 0.1%
0.0028490028491
 
< 0.1%
0.002890173411
 
< 0.1%
0.0030674846631
 
< 0.1%
0.0038167938931
 
< 0.1%
0.003906251
 
< 0.1%
0.0042462845011
 
< 0.1%
0.0043478260871
 
< 0.1%
0.0045662100461
 
< 0.1%
ValueCountFrequency (%)
115
0.1%
0.91666666671
 
< 0.1%
0.90909090911
 
< 0.1%
0.91
 
< 0.1%
0.88888888891
 
< 0.1%
0.861
 
< 0.1%
0.85714285715
 
< 0.1%
0.851
 
< 0.1%
0.84848484851
 
< 0.1%
0.84615384621
 
< 0.1%

duration4
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct2771
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2008322513
Minimum0
Maximum1
Zeros2091
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:09.812174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08695652174
median0.1764705882
Q30.2857142857
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.198757764

Descriptive statistics

Standard deviation0.1563610948
Coefficient of variation (CV)0.7785656627
Kurtosis2.069986515
Mean0.2008322513
Median Absolute Deviation (MAD)0.09625668449
Skewness1.152765138
Sum3976.277743
Variance0.02444879196
MonotonicityNot monotonic
2022-06-07T23:29:11.195217image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02091
 
10.6%
0.25508
 
2.6%
0.3333333333505
 
2.6%
0.2490
 
2.5%
0.1666666667464
 
2.3%
0.1428571429350
 
1.8%
0.1111111111314
 
1.6%
0.5311
 
1.6%
0.125294
 
1.5%
0.2857142857252
 
1.3%
Other values (2761)14220
71.8%
ValueCountFrequency (%)
02091
10.6%
0.0020491803281
 
< 0.1%
0.0021978021981
 
< 0.1%
0.0027397260271
 
< 0.1%
0.0027932960891
 
< 0.1%
0.0028490028491
 
< 0.1%
0.0028530670471
 
< 0.1%
0.0028735632181
 
< 0.1%
0.0029940119761
 
< 0.1%
0.0030487804881
 
< 0.1%
ValueCountFrequency (%)
136
0.2%
0.9729729731
 
< 0.1%
0.95454545451
 
< 0.1%
0.94594594591
 
< 0.1%
0.93751
 
< 0.1%
0.92105263161
 
< 0.1%
0.922
 
< 0.1%
0.91428571431
 
< 0.1%
0.90909090913
 
< 0.1%
0.91
 
< 0.1%

duration5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2918
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2702940811
Minimum0
Maximum1
Zeros2210
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:12.219966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08602150538
median0.2258064516
Q30.4090909091
95-th percentile0.6923076923
Maximum1
Range1
Interquartile range (IQR)0.3230694037

Descriptive statistics

Standard deviation0.2248449058
Coefficient of variation (CV)0.8318528649
Kurtosis0.3352295567
Mean0.2702940811
Median Absolute Deviation (MAD)0.1565464896
Skewness0.8730767011
Sum5351.552512
Variance0.05055523164
MonotonicityNot monotonic
2022-06-07T23:29:13.052036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02210
 
11.2%
0.5605
 
3.1%
0.3333333333529
 
2.7%
0.25341
 
1.7%
0.2329
 
1.7%
0.4270
 
1.4%
0.6666666667247
 
1.2%
0.1666666667244
 
1.2%
1234
 
1.2%
0.2857142857229
 
1.2%
Other values (2908)14561
73.5%
ValueCountFrequency (%)
02210
11.2%
0.0018484288351
 
< 0.1%
0.0021645021641
 
< 0.1%
0.0024509803921
 
< 0.1%
0.0025380710661
 
< 0.1%
0.0026041666671
 
< 0.1%
0.0026666666671
 
< 0.1%
0.0027397260271
 
< 0.1%
0.0028530670471
 
< 0.1%
0.0029761904761
 
< 0.1%
ValueCountFrequency (%)
1234
1.2%
0.97368421051
 
< 0.1%
0.96178343951
 
< 0.1%
0.962
 
< 0.1%
0.95833333331
 
< 0.1%
0.952
 
< 0.1%
0.94736842111
 
< 0.1%
0.94444444441
 
< 0.1%
0.94117647062
 
< 0.1%
0.93752
 
< 0.1%

boxes1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2933
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.168893971
Minimum0
Maximum1
Zeros3681
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:14.228667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04
median0.1194029851
Q30.2425713445
95-th percentile0.5277777778
Maximum1
Range1
Interquartile range (IQR)0.2025713445

Descriptive statistics

Standard deviation0.1753289283
Coefficient of variation (CV)1.038100574
Kurtosis3.088189347
Mean0.168893971
Median Absolute Deviation (MAD)0.09440298508
Skewness1.619941967
Sum3343.931732
Variance0.0307402331
MonotonicityNot monotonic
2022-06-07T23:29:15.266100image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03681
 
18.6%
0.2382
 
1.9%
0.1666666667356
 
1.8%
0.1428571429345
 
1.7%
0.25341
 
1.7%
0.1111111111300
 
1.5%
0.125298
 
1.5%
0.1293
 
1.5%
0.3333333333277
 
1.4%
0.09090909091244
 
1.2%
Other values (2923)13282
67.1%
ValueCountFrequency (%)
03681
18.6%
0.0025188916881
 
< 0.1%
0.0030674846631
 
< 0.1%
0.0037037037041
 
< 0.1%
0.0051282051281
 
< 0.1%
0.005181347152
 
< 0.1%
0.0052631578951
 
< 0.1%
0.0054054054051
 
< 0.1%
0.0055555555561
 
< 0.1%
0.0055865921791
 
< 0.1%
ValueCountFrequency (%)
156
0.3%
0.99063829791
 
< 0.1%
0.98795180721
 
< 0.1%
0.98170731711
 
< 0.1%
0.97950819671
 
< 0.1%
0.97946611911
 
< 0.1%
0.97938144331
 
< 0.1%
0.96774193551
 
< 0.1%
0.96251
 
< 0.1%
0.96078431371
 
< 0.1%

boxes2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2794
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1747514605
Minimum0
Maximum1
Zeros3290
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:15.819154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04761904762
median0.1333333333
Q30.2666666667
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.219047619

Descriptive statistics

Standard deviation0.1634171352
Coefficient of variation (CV)0.9351403112
Kurtosis1.799758966
Mean0.1747514605
Median Absolute Deviation (MAD)0.1032258065
Skewness1.241919586
Sum3459.904167
Variance0.02670516008
MonotonicityNot monotonic
2022-06-07T23:29:16.645521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03290
 
16.6%
0.25406
 
2.1%
0.2395
 
2.0%
0.1666666667363
 
1.8%
0.3333333333355
 
1.8%
0.1428571429296
 
1.5%
0.125281
 
1.4%
0.1111111111280
 
1.4%
0.1261
 
1.3%
0.09090909091218
 
1.1%
Other values (2784)13654
69.0%
ValueCountFrequency (%)
03290
16.6%
0.0025188916881
 
< 0.1%
0.0030769230771
 
< 0.1%
0.0035460992911
 
< 0.1%
0.0038022813691
 
< 0.1%
0.0038314176251
 
< 0.1%
0.0041493775931
 
< 0.1%
0.0042553191491
 
< 0.1%
0.0043988269791
 
< 0.1%
0.0045454545451
 
< 0.1%
ValueCountFrequency (%)
127
0.1%
0.95454545451
 
< 0.1%
0.94117647061
 
< 0.1%
0.93751
 
< 0.1%
0.92592592591
 
< 0.1%
0.92307692312
 
< 0.1%
0.91666666672
 
< 0.1%
0.90497737561
 
< 0.1%
0.88888888892
 
< 0.1%
0.88648648651
 
< 0.1%

boxes3
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct2810
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2093725776
Minimum0
Maximum1
Zeros2226
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:17.044858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08695652174
median0.1774193548
Q30.2957746479
95-th percentile0.5333333333
Maximum1
Range1
Interquartile range (IQR)0.2088181261

Descriptive statistics

Standard deviation0.1692639535
Coefficient of variation (CV)0.8084342059
Kurtosis2.02566312
Mean0.2093725776
Median Absolute Deviation (MAD)0.1004962779
Skewness1.211529327
Sum4145.367664
Variance0.02865028596
MonotonicityNot monotonic
2022-06-07T23:29:17.419209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02226
 
11.2%
0.25482
 
2.4%
0.2458
 
2.3%
0.3333333333456
 
2.3%
0.1666666667434
 
2.2%
0.1428571429333
 
1.7%
0.5303
 
1.5%
0.125277
 
1.4%
0.1111111111249
 
1.3%
0.1229
 
1.2%
Other values (2800)14352
72.5%
ValueCountFrequency (%)
02226
11.2%
0.0018691588791
 
< 0.1%
0.0025188916881
 
< 0.1%
0.0025531914891
 
< 0.1%
0.0027932960891
 
< 0.1%
0.0028169014081
 
< 0.1%
0.002890173411
 
< 0.1%
0.0029761904761
 
< 0.1%
0.0029940119761
 
< 0.1%
0.0032258064521
 
< 0.1%
ValueCountFrequency (%)
156
0.3%
0.9729729731
 
< 0.1%
0.95454545451
 
< 0.1%
0.94382022471
 
< 0.1%
0.94117647061
 
< 0.1%
0.9354838711
 
< 0.1%
0.92857142863
 
< 0.1%
0.92307692312
 
< 0.1%
0.92178770951
 
< 0.1%
0.90909090915
 
< 0.1%

boxes4
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct2731
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1903574341
Minimum0
Maximum1
Zeros3309
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:17.638936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05555555556
median0.1621621622
Q30.28125
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2256944444

Descriptive statistics

Standard deviation0.1695139482
Coefficient of variation (CV)0.8905034315
Kurtosis1.999154698
Mean0.1903574341
Median Absolute Deviation (MAD)0.1118024499
Skewness1.209710463
Sum3768.886837
Variance0.02873497865
MonotonicityNot monotonic
2022-06-07T23:29:17.820121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03309
 
16.7%
0.3333333333435
 
2.2%
0.25431
 
2.2%
0.2418
 
2.1%
0.1666666667386
 
1.9%
0.1428571429292
 
1.5%
0.125283
 
1.4%
0.1111111111244
 
1.2%
0.5230
 
1.2%
0.2857142857220
 
1.1%
Other values (2721)13551
68.4%
ValueCountFrequency (%)
03309
16.7%
0.00067750677511
 
< 0.1%
0.00086058519791
 
< 0.1%
0.0009680542111
 
< 0.1%
0.0010319917441
 
< 0.1%
0.0013140604471
 
< 0.1%
0.0013698630141
 
< 0.1%
0.0014556040761
 
< 0.1%
0.0018761726081
 
< 0.1%
0.0019193857971
 
< 0.1%
ValueCountFrequency (%)
147
0.2%
0.97183098591
 
< 0.1%
0.95555555561
 
< 0.1%
0.95454545451
 
< 0.1%
0.95238095241
 
< 0.1%
0.94736842111
 
< 0.1%
0.93251533741
 
< 0.1%
0.92857142861
 
< 0.1%
0.91503267971
 
< 0.1%
0.91228070181
 
< 0.1%

boxes5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2643
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2565593233
Minimum0
Maximum1
Zeros4655
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:17.990887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01123595506
median0.1904761905
Q30.4285714286
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0.4173354735

Descriptive statistics

Standard deviation0.2546461947
Coefficient of variation (CV)0.9925431335
Kurtosis-0.2028099614
Mean0.2565593233
Median Absolute Deviation (MAD)0.1904761905
Skewness0.8415442998
Sum5079.618042
Variance0.06484468446
MonotonicityNot monotonic
2022-06-07T23:29:18.165983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04655
 
23.5%
0.5466
 
2.4%
0.3333333333347
 
1.8%
0.25294
 
1.5%
0.6666666667280
 
1.4%
0.2253
 
1.3%
0.4235
 
1.2%
1215
 
1.1%
0.1666666667213
 
1.1%
0.1428571429177
 
0.9%
Other values (2633)12664
64.0%
ValueCountFrequency (%)
04655
23.5%
0.00067750677511
 
< 0.1%
0.00094517958411
 
< 0.1%
0.0012987012991
 
< 0.1%
0.0018115942031
 
< 0.1%
0.0018656716421
 
< 0.1%
0.0018761726081
 
< 0.1%
0.0019193857971
 
< 0.1%
0.002053388091
 
< 0.1%
0.0021645021641
 
< 0.1%
ValueCountFrequency (%)
1215
1.1%
0.96666666671
 
< 0.1%
0.96551724141
 
< 0.1%
0.96428571431
 
< 0.1%
0.9629629631
 
< 0.1%
0.9575371551
 
< 0.1%
0.95652173911
 
< 0.1%
0.95121951221
 
< 0.1%
0.953
 
< 0.1%
0.94941634241
 
< 0.1%

speed1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct19029
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1765382297
Minimum0
Maximum1
Zeros232
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:18.340584image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005025125628
Q10.02503167293
median0.07767669699
Q30.2442650362
95-th percentile0.6795158788
Maximum1
Range1
Interquartile range (IQR)0.2192333633

Descriptive statistics

Standard deviation0.2209465522
Coefficient of variation (CV)1.251550741
Kurtosis2.196923893
Mean0.1765382297
Median Absolute Deviation (MAD)0.06373157778
Skewness1.690605339
Sum3495.28041
Variance0.04881737892
MonotonicityNot monotonic
2022-06-07T23:29:18.518738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0232
 
1.2%
154
 
0.3%
0.18
 
< 0.1%
0.016949152545
 
< 0.1%
0.085714285714
 
< 0.1%
0.061538461544
 
< 0.1%
0.54
 
< 0.1%
0.023076923084
 
< 0.1%
0.0091324200914
 
< 0.1%
0.066666666674
 
< 0.1%
Other values (19019)19476
98.4%
ValueCountFrequency (%)
0232
1.2%
9.906875372 × 10-51
 
< 0.1%
0.00010913456291
 
< 0.1%
0.00016798252981
 
< 0.1%
0.00016815200941
 
< 0.1%
0.00018436578171
 
< 0.1%
0.00020374898131
 
< 0.1%
0.00022631749111
 
< 0.1%
0.00023227454851
 
< 0.1%
0.00023386342381
 
< 0.1%
ValueCountFrequency (%)
154
0.3%
0.99983638741
 
< 0.1%
0.99960159361
 
< 0.1%
0.99959530551
 
< 0.1%
0.99930483141
 
< 0.1%
0.9989969911
 
< 0.1%
0.998646821
 
< 0.1%
0.99776951671
 
< 0.1%
0.99761174671
 
< 0.1%
0.9968684761
 
< 0.1%

speed2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct19209
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1946360748
Minimum0
Maximum0.9883585565
Zeros151
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:18.701364image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0119047619
Q10.05478419797
median0.1422450728
Q30.2895283274
95-th percentile0.5503339062
Maximum0.9883585565
Range0.9883585565
Interquartile range (IQR)0.2347441294

Descriptive statistics

Standard deviation0.1742270116
Coefficient of variation (CV)0.8951424433
Kurtosis1.090389574
Mean0.1946360748
Median Absolute Deviation (MAD)0.1020961763
Skewness1.20391928
Sum3853.599645
Variance0.03035505156
MonotonicityNot monotonic
2022-06-07T23:29:18.869501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0151
 
0.8%
0.33333333338
 
< 0.1%
0.245
 
< 0.1%
0.14285714295
 
< 0.1%
0.0094339622645
 
< 0.1%
0.255
 
< 0.1%
0.027777777784
 
< 0.1%
0.059701492544
 
< 0.1%
0.052631578954
 
< 0.1%
0.1254
 
< 0.1%
Other values (19199)19604
99.0%
ValueCountFrequency (%)
0151
0.8%
5.456728146 × 10-51
 
< 0.1%
0.00016361256541
 
< 0.1%
0.00017739932591
 
< 0.1%
0.00023540489641
 
< 0.1%
0.000244319571
 
< 0.1%
0.00024582104231
 
< 0.1%
0.00028286542681
 
< 0.1%
0.00032981530341
 
< 0.1%
0.00034270047981
 
< 0.1%
ValueCountFrequency (%)
0.98835855651
< 0.1%
0.97975352111
< 0.1%
0.97740524781
< 0.1%
0.95989974941
< 0.1%
0.95069532241
< 0.1%
0.951
< 0.1%
0.93582375481
< 0.1%
0.9351285191
< 0.1%
0.93015612161
< 0.1%
0.92906976741
< 0.1%

speed3
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct19064
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2232731428
Minimum0
Maximum0.9759803922
Zeros302
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:19.036788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01471887087
Q10.08954043693
median0.1877934272
Q30.3155856724
95-th percentile0.5711921091
Maximum0.9759803922
Range0.9759803922
Interquartile range (IQR)0.2260452355

Descriptive statistics

Standard deviation0.1707623405
Coefficient of variation (CV)0.7648136195
Kurtosis0.6394311848
Mean0.2232731428
Median Absolute Deviation (MAD)0.1087442288
Skewness0.9928495845
Sum4420.584955
Variance0.02915977694
MonotonicityNot monotonic
2022-06-07T23:29:19.240674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0302
 
1.5%
0.259
 
< 0.1%
0.16666666679
 
< 0.1%
0.33333333337
 
< 0.1%
0.052631578955
 
< 0.1%
0.52380952384
 
< 0.1%
0.076923076924
 
< 0.1%
0.055555555564
 
< 0.1%
0.090909090914
 
< 0.1%
0.15384615384
 
< 0.1%
Other values (19054)19447
98.2%
ValueCountFrequency (%)
0302
1.5%
3.08375478 × 10-51
 
< 0.1%
5.690871842 × 10-51
 
< 0.1%
6.428801029 × 10-51
 
< 0.1%
8.26036676 × 10-51
 
< 0.1%
9.00090009 × 10-51
 
< 0.1%
0.00010089799211
 
< 0.1%
0.00010376134891
 
< 0.1%
0.00014761454891
 
< 0.1%
0.00014957744371
 
< 0.1%
ValueCountFrequency (%)
0.97598039221
< 0.1%
0.94067796611
< 0.1%
0.93963553531
< 0.1%
0.93685655461
< 0.1%
0.92624618511
< 0.1%
0.92603335751
< 0.1%
0.9133034381
< 0.1%
0.90809628011
< 0.1%
0.90754257911
< 0.1%
0.90602409641
< 0.1%

speed4
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct17857
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1883875108
Minimum0
Maximum0.9637931034
Zeros1504
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:19.418583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03254871398
median0.1586666667
Q30.2849792139
95-th percentile0.5292725156
Maximum0.9637931034
Range0.9637931034
Interquartile range (IQR)0.2524304999

Descriptive statistics

Standard deviation0.1723718293
Coefficient of variation (CV)0.9149854395
Kurtosis0.2816511114
Mean0.1883875108
Median Absolute Deviation (MAD)0.1261666667
Skewness0.9213689669
Sum3729.884326
Variance0.02971204755
MonotonicityNot monotonic
2022-06-07T23:29:19.612357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01504
 
7.6%
0.28
 
< 0.1%
0.16666666678
 
< 0.1%
0.14285714296
 
< 0.1%
0.33333333334
 
< 0.1%
0.034482758624
 
< 0.1%
0.020408163274
 
< 0.1%
0.26086956524
 
< 0.1%
0.0057803468214
 
< 0.1%
0.026315789474
 
< 0.1%
Other values (17847)18249
92.2%
ValueCountFrequency (%)
01504
7.6%
4.911301888 × 10-61
 
< 0.1%
5.225479438 × 10-61
 
< 0.1%
8.751586225 × 10-61
 
< 0.1%
9.818456735 × 10-61
 
< 0.1%
1.017785807 × 10-51
 
< 0.1%
1.058223454 × 10-51
 
< 0.1%
1.105748232 × 10-51
 
< 0.1%
1.150624406 × 10-51
 
< 0.1%
1.205334812 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.96379310341
< 0.1%
0.93458870171
< 0.1%
0.91616272681
< 0.1%
0.91132637851
< 0.1%
0.90847983451
< 0.1%
0.88957055211
< 0.1%
0.88714733541
< 0.1%
0.88665710191
< 0.1%
0.86953184961
< 0.1%
0.86189111751
< 0.1%

speed5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct16347
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2171650419
Minimum0
Maximum0.9989919355
Zeros2989
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:19.799047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004581902593
median0.05514051939
Q30.4135971476
95-th percentile0.8004477954
Maximum0.9989919355
Range0.9989919355
Interquartile range (IQR)0.409015245

Descriptive statistics

Standard deviation0.2791714004
Coefficient of variation (CV)1.285526427
Kurtosis-0.1954198864
Mean0.2171650419
Median Absolute Deviation (MAD)0.05514051939
Skewness1.103834838
Sum4299.650664
Variance0.0779366708
MonotonicityNot monotonic
2022-06-07T23:29:20.145538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02989
 
15.1%
0.076923076925
 
< 0.1%
0.025
 
< 0.1%
0.023255813955
 
< 0.1%
0.014705882354
 
< 0.1%
0.017857142864
 
< 0.1%
0.027777777784
 
< 0.1%
0.0052910052914
 
< 0.1%
0.026086956524
 
< 0.1%
0.010526315794
 
< 0.1%
Other values (16337)16771
84.7%
ValueCountFrequency (%)
02989
15.1%
3.722633987 × 10-61
 
< 0.1%
3.873506763 × 10-61
 
< 0.1%
3.874242101 × 10-61
 
< 0.1%
3.90161683 × 10-61
 
< 0.1%
4.405771561 × 10-61
 
< 0.1%
4.41575187 × 10-61
 
< 0.1%
4.482616414 × 10-61
 
< 0.1%
4.911301888 × 10-61
 
< 0.1%
5.434221466 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.99899193551
< 0.1%
0.99667670581
< 0.1%
0.9966722131
< 0.1%
0.99646643111
< 0.1%
0.99565943241
< 0.1%
0.99412780661
< 0.1%
0.99235611511
< 0.1%
0.99207470181
< 0.1%
0.99078341011
< 0.1%
0.98948948951
< 0.1%

altitude1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct18286
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1593752303
Minimum0
Maximum1
Zeros643
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:20.333877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001765360126
Q10.02093655637
median0.07613614007
Q30.2016083782
95-th percentile0.6702693934
Maximum1
Range1
Interquartile range (IQR)0.1806718218

Descriptive statistics

Standard deviation0.2143709736
Coefficient of variation (CV)1.345070832
Kurtosis4.690257183
Mean0.1593752303
Median Absolute Deviation (MAD)0.0658658698
Skewness2.19220246
Sum3155.470184
Variance0.04595491434
MonotonicityNot monotonic
2022-06-07T23:29:20.513166image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0643
 
3.2%
1111
 
0.6%
0.066666666677
 
< 0.1%
0.032258064526
 
< 0.1%
0.025641025646
 
< 0.1%
0.010810810816
 
< 0.1%
0.0093457943935
 
< 0.1%
0.024691358025
 
< 0.1%
0.11111111115
 
< 0.1%
0.055555555565
 
< 0.1%
Other values (18276)19000
96.0%
ValueCountFrequency (%)
0643
3.2%
6.887052342 × 10-51
 
< 0.1%
0.00013437248051
 
< 0.1%
0.00017525411851
 
< 0.1%
0.00020610057711
 
< 0.1%
0.00021574973031
 
< 0.1%
0.00021992522541
 
< 0.1%
0.00023579344491
 
< 0.1%
0.00025075225681
 
< 0.1%
0.00025081514921
 
< 0.1%
ValueCountFrequency (%)
1111
0.6%
0.9999673011
 
< 0.1%
0.99995278791
 
< 0.1%
0.99982133291
 
< 0.1%
0.99978270321
 
< 0.1%
0.99976661291
 
< 0.1%
0.99976597241
 
< 0.1%
0.99971031291
 
< 0.1%
0.9996607871
 
< 0.1%
0.99949482191
 
< 0.1%

altitude2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct18718
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1598955265
Minimum0
Maximum0.9951298701
Zeros530
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:20.692804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004641392827
Q10.04540586491
median0.1142322097
Q30.2259990469
95-th percentile0.4720779056
Maximum0.9951298701
Range0.9951298701
Interquartile range (IQR)0.180593182

Descriptive statistics

Standard deviation0.156053394
Coefficient of variation (CV)0.9759709824
Kurtosis3.619361996
Mean0.1598955265
Median Absolute Deviation (MAD)0.08023368793
Skewness1.701913877
Sum3165.771528
Variance0.02435266179
MonotonicityNot monotonic
2022-06-07T23:29:20.857609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0530
 
2.7%
0.25
 
< 0.1%
0.049019607845
 
< 0.1%
0.066666666674
 
< 0.1%
0.11111111114
 
< 0.1%
0.036363636364
 
< 0.1%
0.22222222224
 
< 0.1%
0.10344827594
 
< 0.1%
0.054
 
< 0.1%
0.019607843144
 
< 0.1%
Other values (18708)19231
97.1%
ValueCountFrequency (%)
0530
2.7%
3.269897325 × 10-51
 
< 0.1%
4.721212407 × 10-51
 
< 0.1%
0.00011770244821
 
< 0.1%
0.00016553550741
 
< 0.1%
0.00020191822311
 
< 0.1%
0.00021217007551
 
< 0.1%
0.00021729682751
 
< 0.1%
0.00023402761531
 
< 0.1%
0.00024648755241
 
< 0.1%
ValueCountFrequency (%)
0.99512987011
< 0.1%
0.98537477151
< 0.1%
0.98448275861
< 0.1%
0.97661290321
< 0.1%
0.97590211011
< 0.1%
0.9725880141
< 0.1%
0.97142857141
< 0.1%
0.9696054751
< 0.1%
0.96942675161
< 0.1%
0.96868436131
< 0.1%

altitude3
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct18704
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1709836939
Minimum0
Maximum0.9980237154
Zeros636
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:21.024677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005606747074
Q10.06539292248
median0.1343283582
Q30.2386331507
95-th percentile0.456323747
Maximum0.9980237154
Range0.9980237154
Interquartile range (IQR)0.1732402282

Descriptive statistics

Standard deviation0.1445905329
Coefficient of variation (CV)0.8456393098
Kurtosis2.510388194
Mean0.1709836939
Median Absolute Deviation (MAD)0.08140821518
Skewness1.41216701
Sum3385.306155
Variance0.0209064222
MonotonicityNot monotonic
2022-06-07T23:29:21.198602image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0636
 
3.2%
0.066666666677
 
< 0.1%
0.26
 
< 0.1%
0.06256
 
< 0.1%
0.16666666676
 
< 0.1%
0.019230769236
 
< 0.1%
0.11111111116
 
< 0.1%
0.090909090915
 
< 0.1%
0.33333333335
 
< 0.1%
0.055555555565
 
< 0.1%
Other values (18694)19111
96.5%
ValueCountFrequency (%)
0636
3.2%
4.597912548 × 10-51
 
< 0.1%
5.268426321 × 10-51
 
< 0.1%
0.00010284679941
 
< 0.1%
0.00013760836661
 
< 0.1%
0.00014397367341
 
< 0.1%
0.00015124016941
 
< 0.1%
0.00015775358891
 
< 0.1%
0.00016823687751
 
< 0.1%
0.00018001800181
 
< 0.1%
ValueCountFrequency (%)
0.99802371541
< 0.1%
0.99639639641
< 0.1%
0.99345417931
< 0.1%
0.98995605781
< 0.1%
0.96764091861
< 0.1%
0.96261160711
< 0.1%
0.95093062611
< 0.1%
0.93624772311
< 0.1%
0.92869718311
< 0.1%
0.91891891891
< 0.1%

altitude4
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct18004
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2277543258
Minimum0
Maximum1
Zeros1518
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:21.371007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.07807492198
median0.1672010994
Q30.3311277557
95-th percentile0.6480775558
Maximum1
Range1
Interquartile range (IQR)0.2530528337

Descriptive statistics

Standard deviation0.2036280936
Coefficient of variation (CV)0.8940690495
Kurtosis1.050504376
Mean0.2277543258
Median Absolute Deviation (MAD)0.110931094
Skewness1.206206676
Sum4509.307896
Variance0.04146440048
MonotonicityNot monotonic
2022-06-07T23:29:21.534064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01518
 
7.7%
0.16666666675
 
< 0.1%
0.15
 
< 0.1%
0.11111111115
 
< 0.1%
0.1254
 
< 0.1%
0.10810810814
 
< 0.1%
0.254
 
< 0.1%
0.055555555564
 
< 0.1%
0.091836734694
 
< 0.1%
0.17647058823
 
< 0.1%
Other values (17994)18243
92.1%
ValueCountFrequency (%)
01518
7.7%
4.929435136 × 10-61
 
< 0.1%
1.7235139 × 10-51
 
< 0.1%
1.885582834 × 10-51
 
< 0.1%
2.603353119 × 10-51
 
< 0.1%
3.598416697 × 10-51
 
< 0.1%
3.609196232 × 10-51
 
< 0.1%
4.946087645 × 10-51
 
< 0.1%
5.347117013 × 10-51
 
< 0.1%
5.431978055 × 10-51
 
< 0.1%
ValueCountFrequency (%)
11
< 0.1%
0.9984999211
< 0.1%
0.99832775921
< 0.1%
0.99753997541
< 0.1%
0.9961240311
< 0.1%
0.99490386841
< 0.1%
0.99338942311
< 0.1%
0.99334886681
< 0.1%
0.98759689921
< 0.1%
0.98613251161
< 0.1%

altitude5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct14146
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2819912236
Minimum0
Maximum1
Zeros5510
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:21.703603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1385781306
Q30.5422535316
95-th percentile0.8586379607
Maximum1
Range1
Interquartile range (IQR)0.5422535316

Descriptive statistics

Standard deviation0.3111984118
Coefficient of variation (CV)1.103574813
Kurtosis-0.9736459277
Mean0.2819912236
Median Absolute Deviation (MAD)0.1385781306
Skewness0.7022739555
Sum5583.144237
Variance0.09684445149
MonotonicityNot monotonic
2022-06-07T23:29:21.893394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05510
 
27.8%
15
 
< 0.1%
0.55
 
< 0.1%
0.93
 
< 0.1%
0.13
 
< 0.1%
0.083333333333
 
< 0.1%
0.49014084513
 
< 0.1%
0.38461538463
 
< 0.1%
0.83
 
< 0.1%
0.18181818183
 
< 0.1%
Other values (14136)14258
72.0%
ValueCountFrequency (%)
05510
27.8%
6.367358374 × 10-61
 
< 0.1%
6.414039049 × 10-61
 
< 0.1%
6.674587177 × 10-61
 
< 0.1%
1.058223454 × 10-51
 
< 0.1%
1.108721201 × 10-51
 
< 0.1%
1.119469819 × 10-51
 
< 0.1%
1.254060019 × 10-51
 
< 0.1%
1.478830541 × 10-51
 
< 0.1%
1.7235139 × 10-51
 
< 0.1%
ValueCountFrequency (%)
15
< 0.1%
0.99849849851
 
< 0.1%
0.99811320751
 
< 0.1%
0.99580272821
 
< 0.1%
0.99479166671
 
< 0.1%
0.99457058241
 
< 0.1%
0.99401453611
 
< 0.1%
0.9940119761
 
< 0.1%
0.99227528091
 
< 0.1%
0.99072091361
 
< 0.1%

steer1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct17632
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02580391817
Minimum0
Maximum0.4553275976
Zeros29
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:22.088670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004335902397
Q10.0115954863
median0.01974448316
Q30.03076923077
95-th percentile0.06897210331
Maximum0.4553275976
Range0.4553275976
Interquartile range (IQR)0.01917374447

Descriptive statistics

Standard deviation0.02479712921
Coefficient of variation (CV)0.9609830976
Kurtosis23.59460018
Mean0.02580391817
Median Absolute Deviation (MAD)0.009230464468
Skewness3.654383273
Sum510.8917759
Variance0.0006148976173
MonotonicityNot monotonic
2022-06-07T23:29:22.246211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029
 
0.1%
0.0232558139515
 
0.1%
0.0217391304312
 
0.1%
0.0238095238111
 
0.1%
0.0277777777810
 
0.1%
0.0188679245310
 
0.1%
0.0227272727310
 
0.1%
0.026315789479
 
< 0.1%
0.016666666679
 
< 0.1%
0.016949152548
 
< 0.1%
Other values (17622)19676
99.4%
ValueCountFrequency (%)
029
0.1%
0.0003930817611
 
< 0.1%
0.00054024851431
 
< 0.1%
0.00055096418731
 
< 0.1%
0.00061312078481
 
< 0.1%
0.00064641241111
 
< 0.1%
0.00066711140761
 
< 0.1%
0.00073964497041
 
< 0.1%
0.00074515648291
 
< 0.1%
0.00079365079371
 
< 0.1%
ValueCountFrequency (%)
0.45532759761
< 0.1%
0.34910581221
< 0.1%
0.31141868511
< 0.1%
0.29692307691
< 0.1%
0.29291251381
< 0.1%
0.28756254471
< 0.1%
0.28354080221
< 0.1%
0.274709151
< 0.1%
0.2704802261
< 0.1%
0.26759806561
< 0.1%

steer2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct17901
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03454828339
Minimum0
Maximum0.4209413009
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:22.400823image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00899452382
Q10.01965784867
median0.03047619048
Q30.04295532646
95-th percentile0.07118907412
Maximum0.4209413009
Range0.4209413009
Interquartile range (IQR)0.02329747779

Descriptive statistics

Standard deviation0.02534380246
Coefficient of variation (CV)0.7335763162
Kurtosis35.93284255
Mean0.03454828339
Median Absolute Deviation (MAD)0.0115188445
Skewness4.305601943
Sum684.0214629
Variance0.0006423083231
MonotonicityNot monotonic
2022-06-07T23:29:22.555614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0333333333312
 
0.1%
0.0512
 
0.1%
0.0344827586212
 
0.1%
0.0312512
 
0.1%
0.0232558139511
 
0.1%
0.0322580645211
 
0.1%
0.030303030310
 
0.1%
0.0434782608710
 
0.1%
0.0222222222210
 
0.1%
010
 
0.1%
Other values (17891)19689
99.4%
ValueCountFrequency (%)
010
0.1%
0.00082781456951
 
< 0.1%
0.00091407678241
 
< 0.1%
0.00098039215691
 
< 0.1%
0.0010312822281
 
< 0.1%
0.0010341261631
 
< 0.1%
0.0010809748431
 
< 0.1%
0.0012531328321
 
< 0.1%
0.0012570710251
 
< 0.1%
0.0013333333331
 
< 0.1%
ValueCountFrequency (%)
0.42094130091
< 0.1%
0.38006099481
< 0.1%
0.37071944711
< 0.1%
0.36869979171
< 0.1%
0.36327992971
< 0.1%
0.35461088321
< 0.1%
0.34584980241
< 0.1%
0.3330255771
< 0.1%
0.32972288651
< 0.1%
0.32875743831
< 0.1%

steer3
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct19009
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2244553724
Minimum0
Maximum0.6081729951
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:22.838391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1213126428
Q10.1814072206
median0.2237442922
Q30.2686101749
95-th percentile0.3282022025
Maximum0.6081729951
Range0.6081729951
Interquartile range (IQR)0.08720295433

Descriptive statistics

Standard deviation0.06327679501
Coefficient of variation (CV)0.2819125884
Kurtosis0.03334460109
Mean0.2244553724
Median Absolute Deviation (MAD)0.04366517852
Skewness-0.09066265938
Sum4443.991917
Variance0.004003952787
MonotonicityNot monotonic
2022-06-07T23:29:22.988644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.220
 
0.1%
0.166666666715
 
0.1%
0.2512
 
0.1%
0.21739130438
 
< 0.1%
0.28571428578
 
< 0.1%
0.18181818188
 
< 0.1%
0.14285714298
 
< 0.1%
0.23529411767
 
< 0.1%
0.26666666676
 
< 0.1%
0.21052631586
 
< 0.1%
Other values (18999)19701
99.5%
ValueCountFrequency (%)
02
< 0.1%
0.0014705882351
< 0.1%
0.0017574692441
< 0.1%
0.0025796465881
< 0.1%
0.0029498525071
< 0.1%
0.0033167495851
< 0.1%
0.0035149384891
< 0.1%
0.0036363636361
< 0.1%
0.0037593984961
< 0.1%
0.0038240917781
< 0.1%
ValueCountFrequency (%)
0.60817299511
< 0.1%
0.45331057541
< 0.1%
0.44076184761
< 0.1%
0.43370786521
< 0.1%
0.41600790511
< 0.1%
0.41564117311
< 0.1%
0.41493775931
< 0.1%
0.41248097411
< 0.1%
0.41078431371
< 0.1%
0.40956072351
< 0.1%

steer4
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct19356
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4154092356
Minimum0.01383664696
Maximum0.9004947774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:23.178629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.01383664696
5-th percentile0.194302493
Q10.3178024302
median0.4120956399
Q30.5056663515
95-th percentile0.6595379802
Maximum0.9004947774
Range0.8866581304
Interquartile range (IQR)0.1878639214

Descriptive statistics

Standard deviation0.1388841392
Coefficient of variation (CV)0.3343308895
Kurtosis-0.1330460928
Mean0.4154092356
Median Absolute Deviation (MAD)0.09386102903
Skewness0.225641124
Sum8224.687455
Variance0.01928880413
MonotonicityNot monotonic
2022-06-07T23:29:23.399778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.511
 
0.1%
0.41666666679
 
< 0.1%
0.42857142869
 
< 0.1%
0.33333333339
 
< 0.1%
0.3757
 
< 0.1%
0.43756
 
< 0.1%
0.57142857145
 
< 0.1%
0.44444444444
 
< 0.1%
0.66666666674
 
< 0.1%
0.40983606564
 
< 0.1%
Other values (19346)19731
99.7%
ValueCountFrequency (%)
0.013836646961
< 0.1%
0.019762845851
< 0.1%
0.026161022111
< 0.1%
0.028680688341
< 0.1%
0.033222591361
< 0.1%
0.043956043961
< 0.1%
0.045197740111
< 0.1%
0.045740851831
< 0.1%
0.046961177081
< 0.1%
0.047026279391
< 0.1%
ValueCountFrequency (%)
0.90049477741
< 0.1%
0.86909209031
< 0.1%
0.86896551721
< 0.1%
0.86470404011
< 0.1%
0.85865874361
< 0.1%
0.85296014451
< 0.1%
0.85101311081
< 0.1%
0.84997061541
< 0.1%
0.84623082051
< 0.1%
0.84477436431
< 0.1%

steer5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct18570
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1033161944
Minimum0
Maximum0.2361111111
Zeros39
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:23.577021image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04282523277
Q10.07817112201
median0.09830633284
Q30.129186996
95-th percentile0.1723241737
Maximum0.2361111111
Range0.2361111111
Interquartile range (IQR)0.051015874

Descriptive statistics

Standard deviation0.03904078685
Coefficient of variation (CV)0.3778767411
Kurtosis-0.1284641889
Mean0.1033161944
Median Absolute Deviation (MAD)0.02427431232
Skewness0.2185906811
Sum2045.557333
Variance0.001524183038
MonotonicityNot monotonic
2022-06-07T23:29:23.731583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
039
 
0.2%
0.114
 
0.1%
0.0909090909112
 
0.1%
0.12510
 
0.1%
0.0833333333310
 
0.1%
0.0869565217410
 
0.1%
0.0714285714310
 
0.1%
0.066666666679
 
< 0.1%
0.095238095249
 
< 0.1%
0.11111111119
 
< 0.1%
Other values (18560)19667
99.3%
ValueCountFrequency (%)
039
0.2%
0.00051592931771
 
< 0.1%
0.0011049723761
 
< 0.1%
0.0011148272021
 
< 0.1%
0.001197604791
 
< 0.1%
0.0013089005241
 
< 0.1%
0.0013351134851
 
< 0.1%
0.0013793103451
 
< 0.1%
0.0013831258641
 
< 0.1%
0.0014044943821
 
< 0.1%
ValueCountFrequency (%)
0.23611111111
< 0.1%
0.22971346011
< 0.1%
0.22934208651
< 0.1%
0.2269043761
< 0.1%
0.22516556291
< 0.1%
0.22381954181
< 0.1%
0.22274657861
< 0.1%
0.22251446611
< 0.1%
0.22120418851
< 0.1%
0.22014051521
< 0.1%

steer6
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct18950
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1509441673
Minimum0.003448275862
Maximum0.4729045705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:23.904632image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.003448275862
5-th percentile0.05621003228
Q10.111976993
median0.1512971608
Q30.189225613
95-th percentile0.2418101162
Maximum0.4729045705
Range0.4694562946
Interquartile range (IQR)0.07724862004

Descriptive statistics

Standard deviation0.05651569836
Coefficient of variation (CV)0.3744145891
Kurtosis0.1431940358
Mean0.1509441673
Median Absolute Deviation (MAD)0.03854075053
Skewness0.1528670814
Sum2988.543568
Variance0.003194024162
MonotonicityNot monotonic
2022-06-07T23:29:24.181707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.166666666713
 
0.1%
0.142857142913
 
0.1%
0.212
 
0.1%
0.15384615388
 
< 0.1%
0.16279069777
 
< 0.1%
0.13793103457
 
< 0.1%
0.157
 
< 0.1%
0.13636363647
 
< 0.1%
0.22222222226
 
< 0.1%
0.11764705885
 
< 0.1%
Other values (18940)19714
99.6%
ValueCountFrequency (%)
0.0034482758621
< 0.1%
0.0073394495411
< 0.1%
0.0079714128641
< 0.1%
0.0092867277181
< 0.1%
0.010021922961
< 0.1%
0.01010101011
< 0.1%
0.010719506251
< 0.1%
0.010761259471
< 0.1%
0.011918951131
< 0.1%
0.012847965741
< 0.1%
ValueCountFrequency (%)
0.47290457051
< 0.1%
0.47191011241
< 0.1%
0.46686618211
< 0.1%
0.46488709551
< 0.1%
0.45045325971
< 0.1%
0.43785850861
< 0.1%
0.42086330941
< 0.1%
0.42047302061
< 0.1%
0.41474635781
< 0.1%
0.39959675991
< 0.1%

steer7
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct16364
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01165288909
Minimum0
Maximum0.1967352732
Zeros133
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:24.346522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001841417357
Q10.005383580081
median0.009577464789
Q30.0151165454
95-th percentile0.0281926832
Maximum0.1967352732
Range0.1967352732
Interquartile range (IQR)0.009732965318

Descriptive statistics

Standard deviation0.009529046453
Coefficient of variation (CV)0.8177411092
Kurtosis21.50537231
Mean0.01165288909
Median Absolute Deviation (MAD)0.004672174461
Skewness2.978094466
Sum230.7155512
Variance9.08027263 × 10-5
MonotonicityNot monotonic
2022-06-07T23:29:24.505148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0133
 
0.7%
0.0126582278514
 
0.1%
0.00990099009913
 
0.1%
0.00793650793712
 
0.1%
0.00934579439311
 
0.1%
0.0116279069810
 
0.1%
0.0109890109910
 
0.1%
0.017857142869
 
< 0.1%
0.013513513519
 
< 0.1%
0.014925373139
 
< 0.1%
Other values (16354)19569
98.8%
ValueCountFrequency (%)
0133
0.7%
9.827044025 × 10-51
 
< 0.1%
0.00014592149421
 
< 0.1%
0.00022644927541
 
< 0.1%
0.00023912003831
 
< 0.1%
0.00024691358021
 
< 0.1%
0.000253356981
 
< 0.1%
0.00026301946341
 
< 0.1%
0.00028760425651
 
< 0.1%
0.00031318509241
 
< 0.1%
ValueCountFrequency (%)
0.19673527321
< 0.1%
0.16516023011
< 0.1%
0.1108277111
< 0.1%
0.10342393221
< 0.1%
0.098177153091
< 0.1%
0.096579057151
< 0.1%
0.094017094021
< 0.1%
0.093728463131
< 0.1%
0.093586567581
< 0.1%
0.092544987151
< 0.1%

steer8
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct16790
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01330855035
Minimum0
Maximum0.2369693713
Zeros120
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:24.693719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001615508885
Q10.004903162835
median0.009864647855
Q30.01661189558
95-th percentile0.03654820209
Maximum0.2369693713
Range0.2369693713
Interquartile range (IQR)0.01170873275

Descriptive statistics

Standard deviation0.01418161326
Coefficient of variation (CV)1.065601654
Kurtosis29.88178933
Mean0.01330855035
Median Absolute Deviation (MAD)0.005572802361
Skewness4.063603463
Sum263.4959883
Variance0.0002011181546
MonotonicityNot monotonic
2022-06-07T23:29:24.863127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0120
 
0.6%
0.00884955752211
 
0.1%
0.0153846153810
 
0.1%
0.0111111111110
 
0.1%
0.0135135135110
 
0.1%
0.0080645161299
 
< 0.1%
0.0091743119279
 
< 0.1%
0.011764705889
 
< 0.1%
0.012658227859
 
< 0.1%
0.014492753628
 
< 0.1%
Other values (16780)19594
99.0%
ValueCountFrequency (%)
0120
0.6%
0.00017235436061
 
< 0.1%
0.00019018638271
 
< 0.1%
0.00021267545731
 
< 0.1%
0.0002313208421
 
< 0.1%
0.00026028110361
 
< 0.1%
0.00026455026461
 
< 0.1%
0.00027487630571
 
< 0.1%
0.0002791736461
 
< 0.1%
0.0002969121141
 
< 0.1%
ValueCountFrequency (%)
0.23696937131
< 0.1%
0.23518164441
< 0.1%
0.23034330011
< 0.1%
0.19225449521
< 0.1%
0.18626155881
< 0.1%
0.18432203391
< 0.1%
0.1793570221
< 0.1%
0.17222222221
< 0.1%
0.17114914431
< 0.1%
0.16363636361
< 0.1%

flights
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct507
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.90686398
Minimum1
Maximum1476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:25.028946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q114
median27
Q354
95-th percentile186
Maximum1476
Range1475
Interquartile range (IQR)40

Descriptive statistics

Standard deviation76.89211485
Coefficient of variation (CV)1.510446899
Kurtosis40.90566617
Mean50.90686398
Median Absolute Deviation (MAD)16
Skewness5.014434933
Sum1007905
Variance5912.397326
MonotonicityNot monotonic
2022-06-07T23:29:25.181237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14480
 
2.4%
13476
 
2.4%
15472
 
2.4%
10471
 
2.4%
11470
 
2.4%
18461
 
2.3%
12460
 
2.3%
9439
 
2.2%
6438
 
2.2%
16437
 
2.2%
Other values (497)15195
76.7%
ValueCountFrequency (%)
134
 
0.2%
2150
 
0.8%
3268
1.4%
4324
1.6%
5374
1.9%
6438
2.2%
7427
2.2%
8413
2.1%
9439
2.2%
10471
2.4%
ValueCountFrequency (%)
14761
< 0.1%
11751
< 0.1%
11621
< 0.1%
10581
< 0.1%
10331
< 0.1%
10281
< 0.1%
9751
< 0.1%
9691
< 0.1%
9631
< 0.1%
9491
< 0.1%

squawk_1
Real number (ℝ≥0)

ZEROS

Distinct2463
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1188.169908
Minimum0
Maximum7776
Zeros9372
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:25.342963image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median744
Q31200
95-th percentile5370.1
Maximum7776
Range7776
Interquartile range (IQR)1200

Descriptive statistics

Standard deviation1761.377035
Coefficient of variation (CV)1.482428585
Kurtosis3.363405409
Mean1188.169908
Median Absolute Deviation (MAD)744
Skewness1.970878496
Sum23524576
Variance3102449.059
MonotonicityNot monotonic
2022-06-07T23:29:25.616467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
09372
47.3%
12005680
28.7%
125549
 
0.2%
441448
 
0.2%
400037
 
0.2%
120623
 
0.1%
120217
 
0.1%
120114
 
0.1%
23413
 
0.1%
122613
 
0.1%
Other values (2453)4533
22.9%
ValueCountFrequency (%)
09372
47.3%
51
 
< 0.1%
121
 
< 0.1%
161
 
< 0.1%
241
 
< 0.1%
271
 
< 0.1%
401
 
< 0.1%
561
 
< 0.1%
672
 
< 0.1%
702
 
< 0.1%
ValueCountFrequency (%)
77761
 
< 0.1%
77751
 
< 0.1%
77731
 
< 0.1%
77721
 
< 0.1%
77701
 
< 0.1%
77661
 
< 0.1%
77631
 
< 0.1%
77611
 
< 0.1%
77602
< 0.1%
77573
< 0.1%

observations
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct9183
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6845.906258
Minimum500
Maximum280829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size154.8 KiB
2022-06-07T23:29:25.770439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile585
Q11115
median2606
Q36706.5
95-th percentile24978.1
Maximum280829
Range280329
Interquartile range (IQR)5591.5

Descriptive statistics

Standard deviation15448.39013
Coefficient of variation (CV)2.256588032
Kurtosis102.7421151
Mean6845.906258
Median Absolute Deviation (MAD)1815
Skewness8.593355796
Sum135542098
Variance238652757.7
MonotonicityNot monotonic
2022-06-07T23:29:25.913701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60321
 
0.1%
53720
 
0.1%
62019
 
0.1%
52019
 
0.1%
54419
 
0.1%
60118
 
0.1%
52818
 
0.1%
71017
 
0.1%
69917
 
0.1%
56317
 
0.1%
Other values (9173)19614
99.1%
ValueCountFrequency (%)
5009
< 0.1%
50115
0.1%
50211
0.1%
5034
 
< 0.1%
5049
< 0.1%
50512
0.1%
50612
0.1%
50715
0.1%
5089
< 0.1%
50915
0.1%
ValueCountFrequency (%)
2808291
< 0.1%
2686271
< 0.1%
2607281
< 0.1%
2595401
< 0.1%
2581641
< 0.1%
2581151
< 0.1%
2563041
< 0.1%
2474781
< 0.1%
2459341
< 0.1%
2431991
< 0.1%

type
Categorical

HIGH CARDINALITY

Distinct455
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size154.8 KiB
unknown
2528 
C172
 
1014
SR22
 
799
BE36
 
699
C182
 
693
Other values (450)
14066 

Length

Max length7
Median length4
Mean length4.333905753
Min length2

Characters and Unicode

Total characters85807
Distinct characters41
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)0.6%

Sample

1st rowGRND
2nd rowTBM7
3rd rowSHIP
4th rowPA46
5th rowC56X

Common Values

ValueCountFrequency (%)
unknown2528
 
12.8%
C1721014
 
5.1%
SR22799
 
4.0%
BE36699
 
3.5%
C182693
 
3.5%
PC12630
 
3.2%
BE20465
 
2.3%
PA46438
 
2.2%
P28A415
 
2.1%
BE9L408
 
2.1%
Other values (445)11710
59.1%

Length

2022-06-07T23:29:26.079565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
unknown2528
 
12.8%
c1721014
 
5.1%
sr22799
 
4.0%
be36699
 
3.5%
c182693
 
3.5%
pc12630
 
3.2%
be20465
 
2.3%
pa46438
 
2.2%
p28a415
 
2.1%
be9l408
 
2.1%
Other values (445)11710
59.1%

Most occurring characters

ValueCountFrequency (%)
29120
 
10.6%
n7584
 
8.8%
C5793
 
6.8%
04926
 
5.7%
14466
 
5.2%
B4301
 
5.0%
P3582
 
4.2%
43576
 
4.2%
E3572
 
4.2%
33211
 
3.7%
Other values (31)35676
41.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number36491
42.5%
Uppercase Letter31620
36.9%
Lowercase Letter17696
20.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C5793
18.3%
B4301
13.6%
P3582
11.3%
E3572
11.3%
A2818
8.9%
R2128
 
6.7%
S1928
 
6.1%
T1864
 
5.9%
L1161
 
3.7%
M962
 
3.0%
Other values (16)3511
11.1%
Decimal Number
ValueCountFrequency (%)
29120
25.0%
04926
13.5%
14466
12.2%
43576
 
9.8%
33211
 
8.8%
83160
 
8.7%
52923
 
8.0%
62304
 
6.3%
71905
 
5.2%
9900
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
n7584
42.9%
u2528
 
14.3%
w2528
 
14.3%
o2528
 
14.3%
k2528
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin49316
57.5%
Common36491
42.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n7584
15.4%
C5793
11.7%
B4301
 
8.7%
P3582
 
7.3%
E3572
 
7.2%
A2818
 
5.7%
u2528
 
5.1%
w2528
 
5.1%
o2528
 
5.1%
k2528
 
5.1%
Other values (21)11554
23.4%
Common
ValueCountFrequency (%)
29120
25.0%
04926
13.5%
14466
12.2%
43576
 
9.8%
33211
 
8.8%
83160
 
8.7%
52923
 
8.0%
62304
 
6.3%
71905
 
5.2%
9900
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII85807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29120
 
10.6%
n7584
 
8.8%
C5793
 
6.8%
04926
 
5.7%
14466
 
5.2%
B4301
 
5.0%
P3582
 
4.2%
43576
 
4.2%
E3572
 
4.2%
33211
 
3.7%
Other values (31)35676
41.6%

Interactions

2022-06-07T23:28:57.235276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:20.229117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:29.250083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.473215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:39.263204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.389568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.726191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:52.985183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:57.568626image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.466673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.656195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.821339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:15.035194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:19.645329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:26.077195image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.243112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.477088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.602141image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.969135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.636621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:57.811105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.931459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:07.401257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.807194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:16.585229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:21.327673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:26.766939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:32.072984image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:38.121093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:43.319072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.644863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:57.414652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:21.169674image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:29.400216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.628471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:39.947632image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.526946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.862347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:53.115542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:57.741759image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.603705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.787648image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.947794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:15.176570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:19.790272image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:26.249543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.370231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.600311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.730038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:48.104995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.762907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:57.981170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:03.107336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:07.556714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.932215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:16.729719image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:21.495102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:26.942606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:32.218901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:38.339498image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:43.475753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.796449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:57.572650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:21.649470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:29.585709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.785700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:40.125726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.672081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.988136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:53.240887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:57.886881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.855355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.919596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:11.086368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:15.313599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:19.933207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:26.592782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.536690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.723109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.862064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:48.234786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.905203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:58.143211image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:03.267464image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:07.695419image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:12.060276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:16.876610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:21.627753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:27.093914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:32.365539image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:38.522004image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:43.660126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.949665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:57.719802image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:21.989441image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:29.765209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.939722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:40.295434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.810367image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:49.119061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:53.366971image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:58.050785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.979588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:07.064382image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:11.226075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:15.446693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:20.067749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:26.940167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.672391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.846081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:44.001118image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:48.471054image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:53.035299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:58.284781image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:03.392739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:08.002286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:12.186140image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:17.017483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:21.776849image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:27.254855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:32.513427image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:38.678033image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:44.004521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:49.166406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:57.867114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:22.378857image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:30.030279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:35.088454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:40.457192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.954333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:49.247035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:53.492869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:58.190291image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:03.109043image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:07.198316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:11.363052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:15.586072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:20.236201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:27.106671image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.795318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.970820image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:44.140766image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:48.661337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:53.290603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:58.443000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:03.520086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:08.281724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:12.312120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:17.273543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:21.905460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:27.419354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:32.659755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:38.845686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:44.216006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:49.699556image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:58.018564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:22.828703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:30.208512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:35.231048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:40.602716image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:45.084527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:49.372969image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:53.624168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:58.344252image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:03.231358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:07.328513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:11.494201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:15.724432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:20.403781image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:27.282914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.934601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:40.097278image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:44.270478image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:48.802224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:53.419689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:58.590924image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:03.650027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:08.430870image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:12.438713image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:17.406140image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:22.038841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:27.755790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:32.808022image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:39.004488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:44.416540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:49.930885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-06-07T23:27:09.989945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:14.223081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:18.592565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:25.181312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:34.193228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:38.696810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:42.730388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.085682image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:51.813352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:56.189787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.054869image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:06.434975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.040873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:15.608056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:20.207861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:25.801035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:31.114890image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:36.863144image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:42.454740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:47.571170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:55.231767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:29:01.565926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:28.430653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:33.728685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:38.531787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:43.526901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:47.986536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:52.268207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:56.758453image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:01.680459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:05.871010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.120032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:14.353403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:18.713215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:25.320581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:34.346884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:38.816431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:42.854785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.225366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:51.943640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:56.384736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.179255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:06.578667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.157786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:15.783547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:20.364663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:25.940538image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:31.275946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:37.017809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:42.598394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:47.725899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:55.815338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:29:01.749693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:28.605325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:33.880034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:38.691207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:43.811523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.152802image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:52.432455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:56.909599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:01.834564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.006048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.265784image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:14.488803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:18.859606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:25.485186image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:34.503474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:38.951727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.019086image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.384954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.102265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:56.566684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.317868image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:06.775501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.292551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:15.952692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:20.526507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:26.106651image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:31.460582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:37.249123image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:42.749360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.031223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:56.442083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:29:01.898425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:28.742368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.024209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:38.821933image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:43.938695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.304388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:52.572329image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:57.052092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.025335image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.249895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.399069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:14.615566image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:18.989543image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:25.631962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:34.657912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.075220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.160984image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.527199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.227712image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:56.721310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.457783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:06.911036image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.411485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:16.111471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:20.704600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:26.242352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:31.605110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:37.405677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:42.881289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.179221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:56.712077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:29:02.066548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:28.911633image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.174484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:38.974826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.079007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.447496image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:52.717108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:57.199813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.172411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.379093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.542577image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:14.752160image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:19.125265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:25.778004image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:34.956307image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.205773image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.292431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.679273image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.366518image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:57.017828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.614245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:07.059566image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.553734image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:16.274739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:20.870913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:26.390691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:31.772011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:37.651259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:43.024422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.329913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:56.886769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:29:02.226317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:29.084887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:34.337277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:39.122551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:44.240338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:48.589744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:52.860563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:26:57.377368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:02.327708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:06.518239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:10.689802image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:14.899920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:19.483242image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:25.928299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:35.114540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:39.348913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:43.451094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:47.833135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:52.508510image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:27:57.603008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:02.780385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:07.243621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:11.685174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:16.435040image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:21.169471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:26.571522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:31.936810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:37.835720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:43.177678image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:48.488209image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-06-07T23:28:57.074156image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-06-07T23:29:26.275668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-06-07T23:29:26.653720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-06-07T23:29:27.089497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-06-07T23:29:27.417374image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-06-07T23:29:02.530784image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-06-07T23:29:04.660493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

adshexduration1duration2duration3duration4duration5boxes1boxes2boxes3boxes4boxes5speed1speed2speed3speed4speed5altitude1altitude2altitude3altitude4altitude5steer1steer2steer3steer4steer5steer6steer7steer8flightssquawk_1observationstype
0A0.1202530.0759490.1835440.3354430.2848100.0886080.0443040.0696200.1202530.6772150.0218240.0205500.0623300.1007130.7945820.0423740.0609710.0668310.1064030.7234210.0202110.0489130.2705500.3440900.0973170.1866510.0113790.009426158011776GRND
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4A0001E0.1000000.2000000.2000000.4000000.1000000.1000000.0000000.1000000.4000000.4000000.0079370.0269840.0841270.1793650.7015870.0412700.0857140.0396830.1111110.7222220.0190480.0492060.2492060.3269840.1126980.2063490.0126980.011111101135630C56X
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6A000490.1864410.1186440.2881360.1694920.2372880.1525420.0677970.1016950.3389830.3389830.0371810.0375350.1207510.1643060.6402270.0322240.0258500.0722380.1728050.6968840.0318700.0421390.1883850.4529040.0895890.1536830.0077900.0145185902824PC12
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Last rows

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